Your Engineering Knowledge
Compounds With Every Session

Cortex captures the decisions, discoveries, and patterns from AI-assisted engineering and makes them searchable across your entire organization. The knowledge your team generates compounds instead of disappearing.

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Every
Session compounds your team's knowledge
Day 1
New engineers get full project context
Zero
Repeated debugging across teams
Yours
Infrastructure, data, and control
The Problem

Every AI Session Starts From Scratch

Your engineers generate critical knowledge in every AI-assisted session: API quirks, architecture decisions, debugging breakthroughs, domain context. When the context window clears, it all disappears. Across a team running dozens of sessions per day, the compounding cost is staggering.

Repeated Debugging

The same API quirk, the same configuration issue, the same edge case, debugged independently by every engineer on every project. The first solution never reaches the second team.

Knowledge Walks Out the Door

When engineers rotate between projects or move on, the decisions, trade-offs, and context they accumulated leave with them. The next person starts from zero.

No Compounding Returns

Your 50th project should benefit from the first 49. Instead, each engagement starts as a blank slate. The institutional knowledge that should be making your team faster is evaporating in real time.

The Solution

Every Session Makes the Next One Smarter

Cortex captures the insights your engineers generate and brings them into future sessions automatically. Learnings flow across the team so every engineer benefits from what anyone discovers.

Capture

Insights extracted automatically at session boundaries. No manual entry, no context switching, no extra tools.

Share

Learnings classified and scoped so the right knowledge reaches the right teams. Privacy controls ensure sensitive details stay where they belong.

Accelerate

Past discoveries surface in future sessions, compounding your team's collective intelligence. Every engineer builds on what the team already knows.

How It Works

Three Steps to Compounding Knowledge

Cortex operates at session boundaries. No workflow changes, no manual data entry, no extra tools to adopt.

1

Capture

At the end of each AI session, Cortex automatically extracts the decisions, discoveries, and patterns worth keeping. A quality filter ensures only high-signal insights persist.

2

Classify & Persist

Each insight is typed, tagged, and scoped. Project-specific knowledge stays with the repo. Generalizable patterns flow to the shared knowledge store.

3

Surface

When any engineer starts a new task, Cortex retrieves relevant past insights via hybrid semantic + full-text search. The right knowledge, at the right time.

terminal
# An engineer hits a known issue. Cortex surfaces the answer instantly. $ claude # > Starting session on payments-service... # > Cortex: Found 3 relevant insights for this context: [decision] Use idempotency keys for all payment API calls Confidence: high | Source: checkout-refactor (2 weeks ago) [discovery] Stripe webhook signature verification fails silently with Express 5.x — use raw body parser middleware [pattern] All payment amounts stored as integers (cents) to avoid floating-point precision issues
Capabilities

Built for How Engineering Teams Actually Work

Not another documentation tool. Cortex operates at the layer where knowledge is actually generated, inside AI-assisted engineering sessions.

Automated Quality Filtering

Two-stage filtering ensures only high-value insights persist. Each candidate passes retrieval, reconstruction, duplication, and specificity tests. No noise, no manual curation.

Three-Tier Privacy Model

Personal insights stay private. Project insights stay with the repo. Only explicitly sanitized, generalized knowledge crosses project boundaries. Configurable at every level.

Hybrid Search

Semantic vector search understands intent. Full-text search catches exact terms. Combined with confidence weighting, retrieval is precise, not a keyword fishing expedition.

Installs in Minutes, Runs in the Background

Installs as a plugin. Captures at session boundaries via hooks. No workflow changes, no context switching, no new UIs to learn. Engineers work exactly as before. Cortex works in the background.

Structured Insight Taxonomy

Six insight types (decisions, discoveries, domain knowledge, patterns, environment, and performance), each classified with confidence scores for precise, contextual retrieval.

Your Infrastructure, Fully Managed

Cortex runs on your cloud project. Your database, your API server, your data. No knowledge leaves your environment, no dependency on third-party SaaS. We manage the infrastructure so your team doesn't have to.

Enterprise Value

Knowledge as a Compounding Asset

Cortex cross-team knowledge sharing — engineering insights flowing between projects automatically
Cross-Team Intelligence

Every Project Makes the Next One Faster

When one team discovers an API quirk, every subsequent team benefits. When a debugging breakthrough happens on Project A, Project B never hits the same wall. The 50th project draws on the accumulated intelligence of the first 49.

Insights are automatically sanitized and classified. Only generalized patterns cross project boundaries. All of it lives in infrastructure you own, not in a third-party SaaS.

Cortex engineer onboarding — new team members get full project context from day one
Onboarding & Continuity

New Engineers Are Productive From Day One

No more Slack archaeology. No more three-day ramp-up sessions. When an engineer joins a project, Cortex surfaces every decision, convention, environment detail, and discovered gotcha from the project's history.

Knowledge continuity survives team rotation, leave, and attrition. The project's accumulated context is always queryable.

Cortex automated quality filtering — four-stage process ensures only high-value engineering insights persist
Signal Over Noise

Rigorous Quality Filtering, Not a Knowledge Dump

Cortex isn't a log. Every candidate insight passes four tests: retrieval value, reconstructability, duplication, and specificity. Only insights that would genuinely improve a future session make the cut.

The result: a curated, high-signal knowledge base that engineers actually trust and use.

Built by Very Good Ventures

8 Years of Enterprise Engineering. 200+ Projects Delivered.

Very Good Ventures has partnered with Google, American Airlines, Toyota, and delivered 200+ at-scale engineering projects. Cortex emerged from our own AI-assisted engineering workflow, built on the same rigor we bring to every engagement.

Learn About VGV See Our Work
Google — VGV client Toyota Connected — VGV client American Airlines — VGV client Universal Destinations and Experiences — VGV client Betterment — VGV client Hamilton — VGV client

Your Team's Knowledge Should Compound, Not Evaporate

Every AI session your engineers run generates knowledge worth keeping. Cortex captures it, classifies it, and surfaces it when it matters. Talk to us about bringing Cortex to your organization.

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